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pro vyhledávání: '"Petra Vidnerová"'
Autor:
Petra Vidnerová, Jan Kalina
Publikováno v:
Proceedings of the 21st EANN (Engineering Applications of Neural Networks) 2020 Conference ISBN: 9783030487904
EANN
EANN
Common types of artificial neural networks have been well known to suffer from the presence of outlying measurements (outliers) in the data. However, there are only a few available robust alternatives for training common form of neural networks. In t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7b5e8e58333091f108366811fe9c74e7
https://doi.org/10.1007/978-3-030-48791-1_43
https://doi.org/10.1007/978-3-030-48791-1_43
Publikováno v:
Artificial Intelligence and Soft Computing ISBN: 9783030614003
ICAISC (1)
ICAISC (1)
The choice of an architecture is crucial for the performance of the neural network, and thus automatic methods for architecture search have been proposed to provide a data-dependent solution to this problem. In this paper, we deal with an automatic n
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1d0deaf599890f75ed9971ff4284f7aa
https://doi.org/10.1007/978-3-030-61401-0_25
https://doi.org/10.1007/978-3-030-61401-0_25
Publikováno v:
ICARCV
An emergence of intelligent behaviour within a simple robotic agent is studied in this paper. The radial basis function neural network is used as the control mechanism of the robot. Evolutionary algorithm is used to train the agent to perform several